Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems

Jaemin Jung, Heeyoung Kim, Seongbae Han, Youngrok Jang, Seokki Kim, Seungkwon Baek, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For millimeter wave (mmWave) massive multiple-input-multiple-output (MIMO) Xhaul systems, an initial beam search technique based on the maximum value of the codebook multiplied by the channel correlation matrix is proposed. Simulation results show the proposed initial beam selection scheme reduces complexity by more than 95% and improves up to 24% gain in terms of achievable rate compared with the conventional turbo-like tabu beam search algorithm with a random initial beam selection.

Original languageEnglish
Title of host publicationICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages744-747
Number of pages4
Volume2018-July
ISBN (Print)9781538646465
DOIs
Publication statusPublished - 2018 Aug 14
Event10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 - Prague, Czech Republic
Duration: 2018 Jul 32018 Jul 6

Other

Other10th International Conference on Ubiquitous and Future Networks, ICUFN 2018
CountryCzech Republic
CityPrague
Period18/7/318/7/6

Fingerprint

Millimeter waves

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Jung, J., Kim, H., Han, S., Jang, Y., Kim, S., Baek, S., & Choi, S. (2018). Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. In ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks (Vol. 2018-July, pp. 744-747). [8436978] IEEE Computer Society. https://doi.org/10.1109/ICUFN.2018.8436978
Jung, Jaemin ; Kim, Heeyoung ; Han, Seongbae ; Jang, Youngrok ; Kim, Seokki ; Baek, Seungkwon ; Choi, Sooyong. / Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. Vol. 2018-July IEEE Computer Society, 2018. pp. 744-747
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title = "Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems",
abstract = "For millimeter wave (mmWave) massive multiple-input-multiple-output (MIMO) Xhaul systems, an initial beam search technique based on the maximum value of the codebook multiplied by the channel correlation matrix is proposed. Simulation results show the proposed initial beam selection scheme reduces complexity by more than 95{\%} and improves up to 24{\%} gain in terms of achievable rate compared with the conventional turbo-like tabu beam search algorithm with a random initial beam selection.",
author = "Jaemin Jung and Heeyoung Kim and Seongbae Han and Youngrok Jang and Seokki Kim and Seungkwon Baek and Sooyong Choi",
year = "2018",
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Jung, J, Kim, H, Han, S, Jang, Y, Kim, S, Baek, S & Choi, S 2018, Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. in ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. vol. 2018-July, 8436978, IEEE Computer Society, pp. 744-747, 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018, Prague, Czech Republic, 18/7/3. https://doi.org/10.1109/ICUFN.2018.8436978

Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. / Jung, Jaemin; Kim, Heeyoung; Han, Seongbae; Jang, Youngrok; Kim, Seokki; Baek, Seungkwon; Choi, Sooyong.

ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. Vol. 2018-July IEEE Computer Society, 2018. p. 744-747 8436978.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Jung J, Kim H, Han S, Jang Y, Kim S, Baek S et al. Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. In ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. Vol. 2018-July. IEEE Computer Society. 2018. p. 744-747. 8436978 https://doi.org/10.1109/ICUFN.2018.8436978